Job Title:SeniorData Engineer Department:R&D Reporting to: VP of Data Engineering Location: Baltimore, MD (Not Remote - In-Office at least 2 days per week) Hours of work: Typical hours of work are from 8:30 AM until 5:00 PM local time Monday through Friday. Flexibility of Working Hours dependent on location. Additional hours may be necessary as needed. This position is exempt from overtime. Compensation: $124,000 annually. Who we are: InVita develops specialized medical software for regulated industries that support the advancement of public health and safety. We are the acknowledged leader in the markets we serve. Our subject matter expertise is unmatched in the industry and our products are used by public health and medical professionals across the globe. We have employees spanning across the US and two main offices (Baltimore & Los Angeles). Overview: A Senior Data Engineer is responsible for building and optimizing our data pipelines, as well as designing and maintaining scalable systems for data storage and processing. This role will collaborate closely with product leaders, software engineers, and integration teams to ensure the effective flow and accessibility of data, enabling data-driven decision-making across the organization. Essential Functions: <ul><li>Data Pipeline Development: Design, build, and maintain scalable, efficient, and robust data pipelines to support the processing of large volumes of data.</li><li>Data Integration: Integrate data from a variety of data sources (e.g., relational databases, APIs, third-party datasets) into a unified and accessible format.</li><li>Database Design & Management: Develop and maintain databases, data warehouses, and other data storage solutions, ensuring they meet the company's data needs and business goals.</li><li>ETL/ELT Processes: Implement and manage Extract, Transform, Load (ETL/ELT) processes to ensure the accurate and efficient movement of data between systems.</li><li>Data Quality & Governance: Ensure high data quality and availability by implementing appropriate monitoring, testing, and validation techniques.</li><li>Collaboration: Work closely with data integration engineers, business analysts, and software engineers to understand their data requirements and provide timely solutions.</li><li>Automation: Automate manual data processes and workflows to improve efficiency and reduce errors.</li><li>Data Security & Compliance: Ensure that all data solutions comply with data security, privacy, and regulatory requirements (e.g., GDPR, HIPAA).</li><li>Performance Optimization: Continuously monitor the performance of data systems and make </li></ul>improvements to increase efficiency and scalability. Required Qualifications:<ul><li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li><li>Proven experience (3+ years) as a Data Architect, Data Engineer, or in a similar role.</li><li>Proficiency in database technologies (e.g., MySQL, PostgreSQL, SQL Server).</li><li>Strong experience with data modeling, data warehousing, and ETL/ELT processes.</li><li>Familiarity with cloud data platforms (AWS, Azure, Google Cloud)</li><li>Knowledge of data governance frameworks and data quality best practices.</li><li>Strong problem-solving skills and the ability to translate business needs into data architecture solutions.</li><li>Excellent communication and interpersonal skills.</li></ul> Physical Demands and Work Environment: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions. <ul><li>While performing the duties of this position, prolonged periods of sitting at a desk and working on a computer may be required. </li><li>Additionally, the employee is regularly required to talk or hear. </li><li>The employee frequently is required to use hands or fingers, handle, or feel objects, tools, or controls. </li><li>The employee is occasionally required to stand, walk, sit; reach with hands and arms; climb or balance; and stoop, kneel, crouch, or crawl. </li><li>The employee must occasionally lift and/or move up to 15 pounds. </li><li>Specific vision abilities required by this position include close vision, distance vision, color vision, peripheral vision, and the ability to adjust focus. </li><li>The noise level in the work environment is usually moderate.</li></ul> This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employee(s) will be required to follow any other job-related instructions and perform any other job-related duties requested by any person authorized to give instructions or assignments. This document does not create an employment contract, implied or otherwise, other than an "at-will" relationship. InVita provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Locations: VA - McLean, United States of America, McLean, VirginiaData Engineer ManagerDo you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you''ll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you''ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You''ll Do:Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologiesWork with a team of developers with deep experience in machine learning, distributed microservices, and full stack systemsUtilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and SnowflakeShare your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering communityCollaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowermentPerform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performanceBasic Qualifications: Bachelor''s Degree At least 6 years of experience in application development (Internship experience does not apply)At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)At least 2 years of people management experiencePreferred Qualifications:7+ years of experience in application development including Python, SQL, Scala, or Java4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization for this position.No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City''s Fair Chance Act; Philadelphia''s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [Click Here to Email Your Resum]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One''s recruiting process, please send an email to [Click Here to Email Your Resum]Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page! Job details 100% REMOTE Lead Data Product Engineer / Senior Data Engineer Needed for Growing Subsidiary of a Large Public Company! This Jobot Job is hosted by Reed Kellick Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume. Salary $185,000 - $235,000 per year A Bit About Us We are a growing subsidiary of a large public company that is hiring a Principal Data Product Engineer / Staff Data Engineer! Why join us? As a Senior Data Product Engineer / Principal Data Engineer in our company, we are able to offer <ul><li> A competitive base salary between $185k and $235k, depending on experience!</li><li> Generous stock grant!</li><li> Bonus of 15-20%, depending on experience!</li><li> Work from home / work remote 100%!</li><li> 401k with dollar for dollar match, up to 6% of eligible earnings (base, bonus). Plus additional company contribution!</li><li> Comprehensive medical, dental, vision and life insurance!</li><li> 17 paid holidays per year, including 3 floating holidays!</li><li> Annual Paid Time Off (PTO), with separate sick days!</li><li> 12 weeks paid Parental Leave!</li><li> Caregiver Leave! </li><li> Adoption and Surrogacy Assistance Plan! </li><li> Flexible workplace accommodation! </li><li> Fun team/company events at Sports games, concerts, etc.!</li><li> Tuition reimbursement! </li><li> Ability to attend conferences!</li><li> A MacBook Pro and accompanying hardware to do great work!</li><li> A modern productivity toolset to get work done Slack, Miro, Loom, Lucid, Google Docs, Atlassian and more!</li><li> Generous company discounts!</li><li> Eligible for donation matching to over 1.5 million nonprofit organization! </li></ul>Job Details As a Staff Data Product Engineer / Sr. Data Engineer on our team, we are looking for <ul><li> Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Engineering, Operations Research, or other quantitative field</li><li> 7+ years of experience as a Data Engineer writing code to extract, process and store data within different types of data stores (Snowflake, Postgres, DynamoDB, Kafka, Graph databases)</li><li> 2+ years of leading a cross-functional team to deliver data projects, including 1+ year of experience as a reporting manager of a small team</li><li> Strong programming skills in Python and understanding of core computer science principles</li><li> Experience with building batch and streaming pipelines using complex SQL, PySpark, Pandas, and similar frameworks</li><li> Knowledge of relational and dimensional data modeling concepts to build data products</li><li> Experience with data quality checks, data monitoring solutions</li><li> Experience with orchestrating complex workflows and data pipelines using like Airflow or similar tools</li><li> Experience with Git, CI/CD pipelines, Docker, Kubernetes</li><li> Experience with architecting solutions on AWS or equivalent public cloud platforms.</li><li> Experience with developing data APIs, Microservices and event driven systems to integrate data products </li></ul>Preferred <ul><li> Experience in assessing and implementing new data tools to enhance the data engineering stack</li><li> Knowledge of data mesh concepts</li><li> Knowledge in domains such as recommender systems, fraud detection, personalization, and marketing science</li><li> Knowledge of vector databases, knowledge graphs, and other approaches for organizing & storing information</li><li> Familiarity with Snowflake, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Data Cataloging tools, Data Observability tools and Data Governance tools </li></ul>Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button. Want to learn more about this role and Jobot? Click our Jobot logo and follow our LinkedIn page!

<ul><li>Lead the design, development, and implementation of ETL pipelines using Apache NiFi and Java Spring Boot microservices.</li><li>Integrate large volumes of complex data from diverse sources.</li><li>Possess deep expertise in Java programming, Spring Boot, and AWS big data technologies (e.g., Redshift, Athena).</li><li>Strong understanding of data integration principles, ETL best practices, and data governance frameworks.</li><li>Familiar with machine learning concepts and data preparation techniques.</li><li>Optimize existing ETL processes for performance and scalability.</li><li>Conduct analyses for effective data ingestion strategies.</li><li>Collaborate with data scientists and machine learning engineers for model support.</li><li>Maintain comprehensive data documentation, including database design and performance reports.</li><li>Establish best practices for secure data management and regulatory compliance.</li><li>Partner with data management teams to define and implement data governance initiatives.</li><li>Foster a collaborative team environment that promotes knowledge sharing.</li><li>Communicate complex technical concepts to both technical and non-technical stakeholders.</li><li>Represent the data engineering team in stakeholder meetings, addressing challenges.</li><li>Delegate tasks to ensure timely and budget-compliant project completion.</li><li>Mentor junior data engineers to enhance their skills and professional growth.</li></ul> Desired Skills and Experience -BS/BA Degree and 2+ years' experience, MS/MA and 0 years' experience -Must have the ability to obtain and maintain a Public Trust clearance. -Extensive Expertise with Apache NiFi, JAVA and JAVA Spring boot Microservices, AWS, Red Shift, Athena and Big Data technologies -Experienced with CI/CD processes -JIRA system experience Beacon Hill is an Equal Opportunity Employer that values the strength diversity brings to the workplace. Individuals with Disabilities and Protected Veterans are encouraged to apply. California residents: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. If you would like to complete our voluntary self-identification form, please <a>click here</a> or copy and paste the following link into an open window in your browser: https://jobs.beaconhillstaffing.com/eeoc/ Completion of this form is voluntary and will not affect your opportunity for employment, or the terms or conditions of your employment. This form will be used for reporting purposes only and will be kept separate from all other records. Company Profile: Beacon Hill Technologies, a premier National Information Technology Staffing Group, provides world class technology talent across all industries utilizing a complete suite of staffing services. Beacon Hill Technologies' dedicated team of recruiting and staffing experts consistently delivers quality IT professionals to solve our customers' technical and business needs. Beacon Hill Technologies covers a broad spectrum of IT positions, including Project Management and Business Analysis, Programming/Development, Database, Infrastructure, Quality Assurance, Production/Support and ERP roles. Learn more about Beacon Hill and our specialty divisions, Beacon Hill Associates, Beacon Hill Financial, Beacon Hill HR, Beacon Hill Legal, Beacon Hill Life Sciences and Beacon Hill Technologies by visiting <a>www.bhsg.com</a>. We look forward to working with you. Beacon Hill. Employing the Future™

Data Engineer Jobs in Baltimore, MD

Data Engineer Iii Government Experience Required
October 13, 2024

Senior Data Engineer Blood Management
October 12, 2024

Senior Data Engineer Blood Management
October 8, 2024

Data Engineer Manager
October 5, 2024

Solutions Architect Oracle Data Analytics Manager
October 5, 2024

Lead Data Engineer
October 2, 2024

Data Engineer Ii
September 29, 2024

Solutions Architect Oracle Data Analytics Manager
September 19, 2024

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Data Engineer Jobs in Baltimore, MD

Data Engineer Iii Government Experience RequiredOctober 13, 2024

Senior Data Engineer Blood ManagementOctober 12, 2024

Senior Data Engineer Blood ManagementOctober 8, 2024

Data Engineer ManagerOctober 5, 2024

Solutions Architect Oracle Data Analytics ManagerOctober 5, 2024

Lead Data EngineerOctober 2, 2024

Data Engineer IiSeptember 29, 2024

Solutions Architect Oracle Data Analytics ManagerSeptember 19, 2024